The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-12"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "7632802 (up from 7514481 yesterday: 1.57 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "425394 (up from 421458 yesterday: 0.93 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.57



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2048986 25639 1.27 114669 849 0.75 5.60
Brazil 828810 25982 3.24 41828 909 2.22 5.05
Russia 510761 8961 1.79 6705 183 2.81 1.31
India 297535 0 0.00 8498 0 0.00 2.86
United Kingdom 294402 1542 0.53 41566 202 0.49 14.12
Spain 243209 502 0.21 27136 0 0.00 11.16
Italy 236305 163 0.07 34223 56 0.16 14.48
Peru 214788 0 0.00 6088 0 0.00 2.83
France 193220 727 0.38 29377 28 0.10 15.20
Germany 187226 535 0.29 8783 11 0.13 4.69
Iran 182525 2369 1.31 8659 75 0.87 4.74
Turkey 175218 1195 0.69 4778 15 0.31 2.73
Chile 160846 6754 4.38 2870 222 8.38 1.78
Mexico 139196 5222 3.90 16448 504 3.16 11.82
Pakistan 125933 0 0.00 2463 0 0.00 1.96
Saudi Arabia 119942 3921 3.38 893 36 4.20 0.74
Canada 99595 436 0.44 8125 54 0.67 8.16
China 84228 12 0.01 4638 0 0.00 5.51
Bangladesh 81523 3471 4.45 1095 46 4.39 1.34
Qatar 76588 1517 2.02 70 1 1.45 0.09
South Africa 61927 3359 5.74 1354 70 5.45 2.19
Belgium 59819 108 0.18 9646 10 0.10 16.13
Belarus 52520 704 1.36 298 5 1.71 0.57
Sweden 49684 1396 2.89 4854 40 0.83 9.77
Netherlands 48668 210 0.43 6072 9 0.15 12.48
Ecuador 45778 1338 3.01 3828 108 2.90 8.36
Colombia 45344 1534 3.50 1562 57 3.79 3.44
United Arab Emirates 41499 513 1.25 287 1 0.35 0.69
Egypt 41303 1577 3.97 1422 45 3.27 3.44
Singapore 39850 463 1.18 25 0 0.00 0.06
Indonesia 36406 1111 3.15 2048 48 2.40 5.63
Portugal 36180 270 0.75 1505 1 0.07 4.16
Kuwait 34952 520 1.51 285 6 2.15 0.82
Switzerland 31063 19 0.06 1938 1 0.05 6.24
Ukraine 30415 709 2.39 880 16 1.85 2.89
Argentina 28764 1391 5.08 785 20 2.61 2.73
Poland 28577 376 1.33 1222 7 0.58 4.28
Ireland 25250 12 0.05 1705 2 0.12 6.75
Philippines 24787 612 2.53 1052 16 1.54 4.24
Afghanistan 23546 656 2.87 446 20 4.69 1.89
Dominican Republic 22008 571 2.66 568 7 1.25 2.58
Romania 21404 222 1.05 1380 11 0.80 6.45
Oman 21071 1117 5.60 96 7 7.87 0.46
Panama 19211 625 3.36 421 3 0.72 2.19
Israel 18795 226 1.22 300 0 0.00 1.60
Iraq 17770 1095 6.57 496 39 8.53 2.79
Bahrain 17269 602 3.61 36 2 5.88 0.21
Japan 17250 63 0.37 924 2 0.22 5.36
Austria 17064 30 0.18 675 1 0.15 3.96
Bolivia 16929 764 4.73 559 26 4.88 3.30
Armenia 15281 612 4.17 258 13 5.31 1.69
Nigeria 15181 627 4.31 399 12 3.10 2.63
Kazakhstan 13872 0 0.00 70 3 4.48 0.50
Denmark 12299 64 0.52 594 1 0.17 4.83
Serbia 12175 73 0.60 252 0 0.00 2.07
Korea, South 12051 48 0.40 277 0 0.00 2.30
Moldova 11093 366 3.41 385 10 2.67 3.47
Ghana 10856 498 4.81 48 0 0.00 0.44
Algeria 10698 109 1.03 751 10 1.35 7.02
Czechia 9938 83 0.84 329 1 0.30 3.31
Azerbaijan 9218 336 3.78 113 5 4.63 1.23
Guatemala 8982 421 4.92 351 17 5.09 3.91
Cameroon 8681 0 0.00 212 0 0.00 2.44
Norway 8620 12 0.14 242 0 0.00 2.81
Morocco 8610 73 0.86 212 1 0.47 2.46
Malaysia 8402 33 0.39 119 1 0.85 1.42
Honduras 8132 463 6.04 306 12 4.08 3.76
Australia 7294 5 0.07 102 0 0.00 1.40
Finland 7073 9 0.13 325 0 0.00 4.59
Sudan 6879 149 2.21 433 20 4.84 6.29
Nepal 5062 448 9.71 16 1 6.67 0.32

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 381714 822 0.22 30758 178 0.58 8.06 19621.81 1581.10 1 in 51
New Jersey 166164 348 0.21 12489 46 0.37 7.52 18707.55 1406.07 1 in 53
California 146659 3282 2.29 4978 44 0.89 3.39 3711.74 125.99 1 in 269
Illinois 131198 595 0.46 6260 75 1.21 4.77 10353.52 494.01 1 in 97
Massachusetts 105059 392 0.37 7538 46 0.61 7.18 15117.48 1084.68 1 in 66
Texas 84927 2269 2.75 1956 26 1.35 2.30 2928.93 67.46 1 in 341
Pennsylvania 82481 633 0.77 6162 49 0.80 7.47 6442.83 481.33 1 in 155
Florida 70971 1902 2.75 2877 29 1.02 4.05 3304.40 133.95 1 in 303
Michigan 65672 223 0.34 5990 5 0.08 9.12 6575.84 599.79 1 in 152
Maryland 60613 416 0.69 2900 25 0.87 4.78 10025.84 479.68 1 in 100
Georgia 55783 810 1.47 2418 43 1.81 4.33 5253.91 227.74 1 in 190
Virginia 53211 564 1.07 1534 14 0.92 2.88 6234.07 179.72 1 in 160
Louisiana 44995 523 1.18 2996 9 0.30 6.66 9678.85 644.47 1 in 103
Connecticut 44689 228 0.51 4159 13 0.31 9.31 12534.47 1166.53 1 in 80
North Carolina 41417 1833 4.63 1121 15 1.36 2.71 3948.96 106.88 1 in 253
Ohio 40424 420 1.05 2510 18 0.72 6.21 3458.26 214.73 1 in 289
Indiana 39146 398 1.03 2396 16 0.67 6.12 5814.72 355.90 1 in 172
Arizona 33039 1772 5.67 1156 21 1.85 3.50 4338.73 151.81 1 in 230
Minnesota 29795 479 1.63 1305 25 1.95 4.38 5283.15 231.40 1 in 189
Tennessee 29118 778 2.75 466 25 5.67 1.60 4261.27 68.20 1 in 235
Colorado 28807 175 0.61 1582 0 0.00 5.49 5002.31 274.71 1 in 200
Washington 25171 392 1.58 1204 10 0.84 4.78 3305.50 158.11 1 in 303
Alabama 23710 865 3.79 769 14 1.85 3.24 4835.63 156.84 1 in 207
Iowa 23350 377 1.64 644 4 0.62 2.76 7400.79 204.12 1 in 135
Wisconsin 22246 320 1.46 689 7 1.03 3.10 3820.74 118.34 1 in 262
Mississippi 19091 608 3.29 881 13 1.50 4.61 6414.67 296.02 1 in 156
South Carolina 17170 729 4.43 593 5 0.85 3.45 3334.81 115.17 1 in 300
Nebraska 16522 207 1.27 215 3 1.42 1.30 8541.11 111.15 1 in 117
Missouri 15997 298 1.90 881 19 2.20 5.51 2606.47 143.55 1 in 384
Rhode Island 15947 85 0.54 833 10 1.22 5.22 15053.41 786.32 1 in 66
Utah 13577 325 2.45 139 8 6.11 1.02 4234.93 43.36 1 in 236
Kentucky 12166 221 1.85 497 4 0.81 4.09 2723.12 111.24 1 in 367
Arkansas 11547 731 6.76 176 5 2.92 1.52 3826.27 58.32 1 in 261
Kansas 10973 150 1.39 243 0 0.00 2.21 3766.50 83.41 1 in 265
Nevada 10704 231 2.21 461 2 0.44 4.31 3475.15 149.67 1 in 288
Delaware 10173 67 0.66 414 0 0.00 4.07 10447.09 425.15 1 in 96
District of Columbia 9654 65 0.68 506 4 0.80 5.24 13679.08 716.97 1 in 73
New Mexico 9526 159 1.70 420 0 0.00 4.41 4543.05 200.30 1 in 220
Oklahoma 7849 223 2.92 360 2 0.56 4.59 1983.59 90.98 1 in 504
South Dakota 5742 77 1.36 74 1 1.37 1.29 6490.64 83.65 1 in 154
Puerto Rico 5536 184 3.44 146 2 1.39 2.64 1733.42 45.72 1 in 577
Oregon 5377 140 2.67 173 2 1.17 3.22 1274.85 41.02 1 in 784
New Hampshire 5251 42 0.81 315 7 2.27 6.00 3861.85 231.67 1 in 259
Idaho 3353 93 2.85 87 2 2.35 2.59 1871.03 48.55 1 in 534
North Dakota 3016 36 1.21 74 0 0.00 2.45 3957.68 97.10 1 in 253
Maine 2721 54 2.02 100 0 0.00 3.68 2024.23 74.39 1 in 494
West Virginia 2249 32 1.44 88 2 2.33 3.91 1258.43 49.24 1 in 795
Vermont 1119 9 0.81 55 0 0.00 4.92 1793.30 88.14 1 in 558
Wyoming 1027 18 1.78 18 0 0.00 1.75 1774.49 31.10 1 in 564
Hawaii 706 14 2.02 17 0 0.00 2.41 498.63 12.01 1 in 2005
Alaska 624 15 2.46 12 1 9.09 1.92 852.99 16.40 1 in 1172
Montana 573 10 1.78 18 0 0.00 3.14 536.13 16.84 1 in 1865

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2801400 381714 13.63 144004.48
New Jersey 1055396 166164 15.74 118821.60
California 2662258 146659 5.51 67378.09
Illinois 1147962 131198 11.43 90591.72
Massachusetts 693359 105059 15.15 99771.02
Texas 1226957 84927 6.92 42314.87
Pennsylvania 566384 82481 14.56 44241.88
Florida 1335899 70971 5.31 62199.24
Michigan 786287 65672 8.35 78732.18
Maryland 400095 60613 15.15 66178.66
Georgia 591958 55783 9.42 55753.45
Virginia 450530 53211 11.81 52782.96
Louisiana 479534 44995 9.38 103152.34
Connecticut 330254 44689 13.53 92630.41
North Carolina 595697 41417 6.95 56797.50
Ohio 523718 40424 7.72 44803.96
Indiana 335180 39146 11.68 49787.45
Arizona 311236 33039 10.62 40872.01
Minnesota 395202 29795 7.54 70075.85
Tennessee 590173 29118 4.93 86368.79
Colorado 234370 28807 12.29 40698.17
Washington 425212 25171 5.92 55839.52
Alabama 286385 23710 8.28 58407.95
Iowa 214544 23350 10.88 67999.76
Wisconsin 399608 22246 5.57 68632.47
Mississippi 214493 19091 8.90 72070.65
South Carolina 236059 17170 7.27 45848.15
Nebraska 130773 16522 12.63 67603.63
Missouri 265135 15997 6.03 43199.69
Rhode Island 191518 15947 8.33 180786.34
Utah 258786 13577 5.25 80720.33
Kentucky 281094 12166 4.33 62917.32
Arkansas 181122 11547 6.38 60017.40
Kansas 129152 10973 8.50 44331.64
Nevada 199447 10704 5.37 64752.24
Delaware 77694 10173 13.09 79787.30
District of Columbia 61953 9654 15.58 87783.33
New Mexico 255284 9526 3.73 121747.65
Oklahoma 246214 7849 3.19 62222.85
South Dakota 63005 5742 9.11 71219.53
Puerto Rico 5536 5536 100.00 1733.42
Oregon 166189 5377 3.24 39402.41
New Hampshire 91917 5251 5.71 67600.39
Idaho 61432 3353 5.46 34280.01
North Dakota 84164 3016 3.58 110442.46
Maine 66887 2721 4.07 49759.26
West Virginia 124039 2249 1.81 69406.15
Vermont 48634 1119 2.30 77940.48
Wyoming 31900 1027 3.22 55117.93
Hawaii 58579 706 1.21 41373.09
Alaska 70880 624 0.88 96890.83
Montana 57022 573 1.00 53352.52

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 101141 3493 3.58 47796 47.26 49628 3717 127 3.54 3.68
Tamil Nadu 40698 1982 5.12 22047 54.17 18284 367 18 5.16 0.90
Delhi 36824 2137 6.16 13398 36.38 22212 1214 129 11.89 3.30
Gujarat 22562 495 2.24 15501 68.70 5645 1416 31 2.24 6.28
Uttar Pradesh 12616 528 4.37 7609 60.31 4642 365 20 5.80 2.89
Rajasthan 12186 348 2.94 9175 75.29 2736 275 10 3.77 2.26
Madhya Pradesh 10443 202 1.97 7201 68.96 2802 440 9 2.09 4.21
West Bengal 10244 476 4.87 4206 41.06 5587 451 9 2.04 4.40
State Unassigned 7984 -331 -3.98 0 0.00 7984 0 0 NaN 0.00
Karnataka 6516 271 4.34 3440 52.79 2995 79 7 9.72 1.21
Haryana 6334 366 6.13 2475 39.07 3789 70 6 9.38 1.11
Bihar 6096 148 2.49 3316 54.40 2745 35 1 2.94 0.57
Andhra Pradesh 5636 207 3.81 3091 54.84 2465 80 0 0.00 1.42
Jammu and Kashmir 4730 156 3.41 2086 44.10 2591 53 1 1.92 1.12
Telangana 4484 164 3.80 2278 50.80 2032 174 9 5.45 3.88
Odisha 3723 337 9.95 2474 66.45 1236 13 1 8.33 0.35
Assam 3694 263 7.67 1585 42.91 2098 8 2 33.33 0.22
Punjab 2986 99 3.43 2282 76.42 641 63 4 6.78 2.11
Kerala 2323 78 3.47 999 43.00 1304 20 1 5.26 0.86
Uttarakhand 1724 69 4.17 947 54.93 749 21 5 31.25 1.22
Jharkhand 1656 57 3.56 685 41.36 963 8 0 0.00 0.48
Chhattisgarh 1445 47 3.36 544 37.65 895 6 0 0.00 0.42
Tripura 963 48 5.25 278 28.87 684 1 0 0.00 0.10
Himachal Pradesh 486 16 3.40 293 60.29 176 7 0 0.00 1.44
Goa 463 46 11.03 69 14.90 394 0 0 NaN 0.00
Manipur 385 19 5.19 73 18.96 312 0 0 NaN 0.00
Chandigarh 345 13 3.92 295 85.51 45 5 0 0.00 1.45
Ladakh 239 104 77.04 62 25.94 176 1 0 0.00 0.42
Nagaland 163 7 4.49 49 30.06 114 0 0 NaN 0.00
Puducherry 163 6 3.82 76 46.63 84 3 1 50.00 1.84
Mizoram 107 3 2.88 1 0.93 106 0 0 NaN 0.00
Arunachal Pradesh 83 16 23.88 4 4.82 79 0 0 NaN 0.00
Sikkim 63 36 133.33 3 4.76 60 0 0 NaN 0.00
Meghalaya 44 0 0.00 22 50.00 21 1 0 0.00 2.27
Andaman and Nicobar Islands 38 0 0.00 33 86.84 5 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 30 0 0.00 2 6.67 28 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 873831 91204 272 0.30 10.44 2357 97 17024 16405 17.99
Piemonte 361164 30989 31 0.10 8.58 527 30 2897 3996 12.89
Emilia-Romagna 393539 28028 33 0.12 7.12 200 17 1817 4196 14.97
Veneto 795260 19199 0 0.00 2.41 49 0 849 1967 10.25
Toscana 286693 10165 7 0.07 3.55 36 14 510 1080 10.62
Liguria 124320 9871 7 0.07 7.94 103 3 249 1516 15.36
Lazio 291869 7916 27 0.34 2.71 293 47 2222 781 9.87
Marche 119045 6752 1 0.01 5.67 22 0 750 993 14.71
Campania 230551 4608 -229 -4.73 2.00 61 2 346 430 9.33
Puglia 143844 4515 2 0.04 3.14 61 2 439 532 11.78
P.A. Trento 100400 4443 2 0.05 4.43 5 1 68 464 10.44
Sicilia 176233 3455 0 0.00 1.96 34 3 841 279 8.08
Friuli Venezia Giulia 157909 3290 3 0.09 2.08 18 0 108 342 10.40
Abruzzo 88739 3271 4 0.12 3.69 76 4 528 453 13.85
P.A. Bolzano 74859 2608 2 0.08 3.48 8 2 101 291 11.16
Umbria 80190 1436 0 0.00 1.79 10 1 24 76 5.29
Sardegna 67069 1363 1 0.07 2.03 10 1 42 131 9.61
Valle d’Aosta 16374 1191 0 0.00 7.27 6 0 9 144 12.09
Calabria 80063 1161 0 0.00 1.45 16 1 47 97 8.35
Molise 18112 439 0 0.00 2.42 1 1 114 23 5.24
Basilicata 34377 401 0 0.00 1.17 0 1 12 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 53666 181 0.34 5148 43 0.84 9.59 6285.79 602.97 1 in 159
Ontario 33378 205 0.62 2573 10 0.39 7.71 2268.79 174.89 1 in 441
Alberta 7346 30 0.41 149 0 0.00 2.03 1664.57 33.76 1 in 601
British Columbia 2709 15 0.56 168 1 0.60 6.20 530.04 32.87 1 in 1887
Nova Scotia 1061 0 0.00 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 663 3 0.45 13 0 0.00 1.96 561.07 11.00 1 in 1782
Manitoba 301 1 0.33 7 0 0.00 2.33 218.51 5.08 1 in 4576
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 154 1 0.65 1 0 0.00 0.65 197.44 1.28 1 in 5065
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1608 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1108 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 690 7 1.01
Jiangsu 653 0 0.00
Beijing 601 9 1.50
Sichuan 583 3 0.51
Chongqing 579 6 1.04
Fujian 361 1 0.28
Hebei 328 6 1.83
Shaanxi 311 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 237 1 0.42
Shanxi 198 0 0.00
Tianjin 196 3 1.53
Yunnan 185 2 1.08
Hainan 171 6 3.51
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6262.18 350.46 1 in 160
Brazil 3959.91 199.85 1 in 253
Russia 3534.68 46.40 1 in 283
India 222.21 6.35 1 in 4500
United Kingdom 4431.10 625.62 1 in 226
Spain 5212.37 581.57 1 in 192
Italy 3907.16 565.86 1 in 256
Peru 6676.66 189.24 1 in 150
France 2884.31 438.53 1 in 347
Germany 2261.46 106.09 1 in 442
Iran 2248.95 106.69 1 in 445
Turkey 2168.27 59.13 1 in 461
Chile 8911.14 159.00 1 in 112
Mexico 1077.37 127.31 1 in 928
Pakistan 639.25 12.50 1 in 1564
Saudi Arabia 3641.23 27.11 1 in 275
Canada 2649.51 216.15 1 in 377
China 60.77 3.35 1 in 16455
Bangladesh NA NA 1 in NA
Qatar 29021.60 26.53 1 in 34

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 208954 22043 10.55
Cook Illinois 84249 4162 4.94
Los Angeles California 70529 2834 4.02
Nassau New York 41114 2163 5.26
Suffolk New York 40559 1945 4.80
Westchester New York 34175 1402 4.10
Philadelphia Pennsylvania 24228 1487 6.14
Middlesex Massachusetts 23075 1744 7.56
Wayne Michigan 21660 2664 12.30
Miami-Dade Florida 20872 809 3.88
Suffolk Massachusetts 19249 941 4.89
Hudson New Jersey 19149 1246 6.51
Bergen New Jersey 18743 1649 8.80
Essex New Jersey 18295 1728 9.45
Prince George’s Maryland 17042 631 3.70
Maricopa Arizona 17010 536 3.15
Passaic New Jersey 16581 988 5.96
Middlesex New Jersey 16353 1070 6.54
Union New Jersey 16351 1112 6.80
Harris Texas 16188 271 1.67
Fairfield Connecticut 16178 1337 8.26
Essex Massachusetts 15518 1035 6.67
Dallas Texas 13585 280 2.06
Rockland New York 13396 661 4.93
Montgomery Maryland 13348 679 5.09
Fairfax Virginia 12863 421 3.27
New Haven Connecticut 11979 1034 8.63
Providence Rhode Island 11959 0 0.00
Worcester Massachusetts 11937 856 7.17
Oakland Michigan 11286 1062 9.41
Hartford Connecticut 11103 1313 11.83
Marion Indiana 10577 643 6.08
Orange New York 10558 473 4.48
Riverside California 10490 383 3.65
Hennepin Minnesota 9934 708 7.13
District of Columbia District of Columbia 9654 506 5.24
Milwaukee Wisconsin 9310 349 3.75
Ocean New Jersey 9200 807 8.77
San Diego California 8998 308 3.42
Lake Illinois 8980 372 4.14
Norfolk Massachusetts 8842 882 9.98
Monmouth New Jersey 8660 662 7.64
King Washington 8611 586 6.81
Broward Florida 8589 350 4.07
Plymouth Massachusetts 8462 619 7.32
DuPage Illinois 8355 429 5.13
Clark Nevada 8314 377 4.53
Palm Beach Florida 8209 416 5.07
Orange California 8153 210 2.58
Jefferson Louisiana 8091 465 5.75

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc